Prati
Andrea Cini
Andrea Cini
SNSF Postdoc at University of Oxford, Postdoctoral affiliate at USI and UiT
Potvrđena adresa e-pošte na nexus.ox.ac.uk - Početna stranica
Naslov
Citirano
Citirano
Godina
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
A Cini, I Marisca, C Alippi
International Conference on Learning Representations (ICLR), 2022
1652022
Learning to reconstruct missing data from spatiotemporal graphs with sparse observations
I Marisca, A Cini, C Alippi
Advances in Neural Information Processing Systems (NeurIPS), 2022
672022
Scalable spatiotemporal graph neural networks
A Cini, I Marisca, FM Bianchi, C Alippi
Proceedings of the AAAI conference on artificial intelligence 37 (6), 7218-7226, 2023
632023
Taming local effects in graph-based spatiotemporal forecasting
A Cini, I Marisca, D Zambon, C Alippi
Advances in Neural Information Processing Systems 36, 2023
282023
Graph neural networks for high-level synthesis design space exploration
L Ferretti, A Cini, G Zacharopoulos, C Alippi, L Pozzi
ACM Transactions on Design Automation of Electronic Systems 28 (2), 1-20, 2022
28*2022
Peak shaving in distribution networks using stationary energy storage systems: A Swiss case study
NA Efkarpidis, S Imoscopi, M Geidl, A Cini, S Lukovic, C Alippi, I Herbst
Sustainable Energy, Grids and Networks 34, 101018, 2023
262023
Torch Spatiotemporal
A Cini, I Marisca
GitHub. Accessed: Mar, 2022
24*2022
Cluster-based aggregate load forecasting with deep neural networks
A Cini, S Lukovic, C Alippi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
222020
Graph deep learning for time series forecasting
A Cini, I Marisca, D Zambon, C Alippi
arXiv preprint arXiv:2310.15978, 2023
192023
Sparse graph learning from spatiotemporal time series
A Cini, D Zambon, C Alippi
Journal of Machine Learning Research 24 (242), 1-36, 2023
192023
Deep reinforcement learning with weighted Q-Learning
A Cini, C D'Eramo, J Peters, C Alippi
The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2022
152022
Exploiting action-value uncertainty to drive exploration in reinforcement learning
C D’Eramo, A Cini, M Restelli
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
142019
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
A Cini, D Mandic, C Alippi
International Conference on Machine Learning (ICML), 2024
132024
Spatio-temporal graph neural networks for aggregate load forecasting
S Eandi, A Cini, S Lukovic, C Alippi
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
72022
Gaussian approximation for bias reduction in Q-learning
C D'Eramo, A Cini, A Nuara, M Pirotta, C Alippi, J Peters, M Restelli
Journal of Machine Learning Research 22, 1-51, 2021
72021
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
G De Felice, A Cini, D Zambon, VV Gusev, C Alippi
International Conference on Learning Representations (ICLR), 2024
52024
Graph state-space models
D Zambon, A Cini, L Livi, C Alippi
arXiv preprint arXiv:2301.01741, 2023
52023
Feudal Graph Reinforcement Learning
T Marzi, A Khehra, A Cini, C Alippi
arXiv preprint arXiv:2304.05099, 2023
12023
Relational Conformal Prediction for Correlated Time Series
A Cini, A Jenkins, D Mandic, C Alippi, FM Bianchi
arXiv preprint arXiv:2502.09443, 2025
2025
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements
A Jenkins, A Cini, J Barker, A Sharp, A Sau, V Valentine, S Valasang, X Li, ...
arXiv preprint arXiv:2502.09473, 2025
2025
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